FIIs Partially Reverse Selling Trend in Indian Markets Amid Positive Global Cues

Foreign Institutional Investors (FIIs) Show Mixed Trends in Indian Markets

Foreign Institutional Investors (FIIs) Show Mixed Trends in Indian Markets

Foreign institutional investors (FIIs) and domestic institutional investors (DIIs) displayed contrasting behaviors in the Indian equity markets on Tuesday, August 29. The benchmark indices of the country experienced a second consecutive session of gains, largely driven by optimistic global cues.

FIIs and DIIs Actions

FIIs Find Balance: Net Buying After Selling Streak

FIIs, after a period of selling, made a partial shift in their stance. According to data from the National Stock Exchange (NSE), FIIs collectively purchased Indian equities worth ₹10,515.8 crore. Simultaneously, they sold equities amounting to ₹10,453.97 crore, resulting in a net inflow of ₹61.51 crore.

DIIs Maintain Positive Momentum

DIIs, on the other hand, maintained their positive momentum. During the session, they injected a total of ₹8,131.87 crore into the Indian markets. Simultaneously, they offloaded equities worth ₹7,826.78 crore, leading to a net inflow of ₹305.09 crore.

Global Cues and Institutional Investors

Market Reaction to Positive Global Cues

The movement of both FIIs and DIIs was influenced by largely positive global cues. This translated into a higher settlement for the domestic benchmark indices, as the markets responded to favorable trends from international counterparts.

FIIs: Striking a Balance

The FIIs’ actions demonstrated a balancing act, with net buying offsetting the recent selling trend. This suggests a nuanced approach as global conditions evolve.

DIIs: Consistency in Buying

DIIs continued their consistent buying trend, reinforcing the positive sentiment and contributing to the market’s upward movement.

Disclaimer: The information provided here is for educational purposes only and should not be considered financial advice. Always conduct thorough research and consider consulting a financial professional before engaging in algorithmic trading.

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